pcamarillor/O2025_ESI3914O
Sep 2025 – Sep 2025
1 Month active
Languages Used
JSONJupyter NotebookMarkdownPython
Technical Skills
Code CleanupCode ManagementCode OrganizationData AnalysisDockerFile Management
thexaviroo
PROFILE
Thexaviroo
During September 2025, Xavier Figueroa developed and maintained core features for the pcamarillor/O2025_ESI3914O repository, focusing on scalable lab environments and codebase hygiene. He delivered a ready-to-run Playlist Analysis lab, updating Spark instructions and Docker Compose configurations to support reproducible experiments. Xavier implemented a BankAccount class with schema integration, supporting deposit, withdrawal, and balance operations through a dispatcher pattern in Python and Jupyter Notebooks. He also initialized a skeleton for future lab content and reorganized notebooks and artifacts to streamline future maintenance. His work emphasized code organization, data analysis, and robust environment setup, enhancing onboarding and reproducibility.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
4
Lines of code
1,204
Activity Months1
Your Network
15 people
Work History
September 2025
8 Commits • 4 Features
Sep 1, 2025Sept 2025 performance summary for pcamarillor/O2025_ESI3914O: Delivered a scalable, ready-to-run Lab 01 Playlist Analysis environment, initiated core banking functionality with schema integration, prepared Lab 03 skeleton for future content, and completed repository hygiene to improve reproducibility and future maintenance. These efforts advance onboarding speed, enable reproducible experiments, and align code with the generate_schema branch.
8 Commits • 4 Features
Sep 1, 2025Sept 2025 performance summary for pcamarillor/O2025_ESI3914O: Delivered a scalable, ready-to-run Lab 01 Playlist Analysis environment, initiated core banking functionality with schema integration, prepared Lab 03 skeleton for future content, and completed repository hygiene to improve reproducibility and future maintenance. These efforts advance onboarding speed, enable reproducible experiments, and align code with the generate_schema branch.
September 2025
Activity
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Quality Metrics
Correctness97.6%
Maintainability97.6%
Architecture90.0%
Performance97.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMarkdownPython
Technical Skills
Code CleanupCode ManagementCode OrganizationData AnalysisDockerFile ManagementGitJupyter NotebookJupyter NotebooksNotebook ManagementObject-Oriented ProgrammingPythonPython DevelopmentPython Programming
Repositories Contributed To
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